Kalle Åström

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Anders HeydenProfessor in Mathematics, Lund UniversityVerified email at maths.lth.se
Magnus OskarssonAss. professor of mathematics, Lund UniversityVerified email at maths.lth.se
Fredrik KahlProfessor, Chalmers University of TechnologyVerified email at chalmers.se
Martin ByrödLunds universitetVerified email at maths.lth.se
Hakan ArdoLund UniversityVerified email at maths.lth.se
Niels Chr OvergaardLunds UniversitetVerified email at maths.lth.se
Viktor LarssonAssistant Professor at Lund UniversityVerified email at math.lth.se
Olof EnqvistAssistant Professor, Department of Signals and Systems, Chalmers University of Technology, GöteborgVerified email at chalmers.se
Ida ArvidssonPostdoctoral Researcher, Centre for Mathematical Sciences, Lund UniversityVerified email at math.lth.se
Mikael NilssonLund UniversityVerified email at maths.lth.se
Anders EricssonVerified email at acreo.se
Henrik SteweniusGoogle SwitzerlandVerified email at google.com
Oleksiy GuzhvaDepartment of Biosystems and Technology, Swedish University of Agricultural SciencesVerified email at slu.se
Zhayida SimayijiangLund universityVerified email at maths.lth.se
Anders BjartellProfessor i UrologiVerified email at med.lu.se
Fredrik TufvessonProfessor, Lund University, SwedenVerified email at eit.lth.se
Gabrielle FloodPostdoctoral Researcher, Centre for Mathematical Sciences, Lund UniversityVerified email at math.lth.se
Kenneth BatstoneLund UniversityVerified email at math.lth.se
Tomas PajdlaAssociate professor, Czech Technical University in PragueVerified email at cvut.cz
Fangyuan JiangLund UniversityVerified email at maths.lth.se

Kalle Åström

Professor, Centre for Mathematical Sciences, Lund University, Sweden

Verified email at maths.lth.se - Homepage

computer vision machine learning structure from sound


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Revisiting the pnp problem: A fast, general and optimal solution Y Zheng, Y Kuang, S Sugimoto, K Astrom, M Okutomi Proceedings of the IEEE International Conference on Computer Vision, 2344-2351, 2013	377	2013
Euclidean reconstruction from image sequences with varying and unknown focal length and principal point A Heyden, K Astrom Proceedings of IEEE Computer Society Conference on Computer Vision and …, 1997	346	1997
Euclidean reconstruction from constant intrinsic parameters K Åström, A Heyden Int. Conf. Pattern Recognition 1, 339-343, 1996	286*	1996
Distinctive roles of age, sex, and genetics in shaping transcriptional variation of human immune responses to microbial challenges B Piasecka, D Duffy, A Urrutia, H Quach, E Patin, C Posseme, J Bergstedt, ... Proceedings of the National Academy of Sciences 115 (3), E488-E497, 2018	186	2018
Solutions to minimal generalized relative pose problems H Stewénius, D Nistér, M Oskarsson, K Aström Workshop on omnidirectional vision 1 (2), 3, 2005	162	2005
Robust factorization H Aanæs, R Fisker, K Astrom, JM Carstensen IEEE Transactions on Pattern Analysis and Machine Intelligence 24 (9), 1215-1225, 2002	151	2002
Motion from the frontier of curved surfaces R Cipolla, KE Astrom, PJ Giblin Proceedings of IEEE International Conference on Computer Vision, 269-275, 1995	128	1995
Efficient solvers for minimal problems by syzygy-based reduction V Larsson, K Astrom, M Oskarsson Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	122	2017
Conjugate gradient bundle adjustment M Byröd, K Åström Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010	122	2010
FLIP: A Difference Evaluator for Alternating Images. P Andersson, J Nilsson, T Akenine-Möller, M Oskarsson, K Åström, ... Proc. ACM Comput. Graph. Interact. Tech. 3 (2), 15:1-15:23, 2020	111	2020
Critical motions for auto-calibration when some intrinsic parameters can vary F Kahl, B Triggs, K Åström Journal of Mathematical Imaging and Vision 13, 131-146, 2000	109	2000
Minimal conditions on intrinsic parameters for euclidean reconstruction A Heyden, K Åström Computer Vision—ACCV'98, 169-176, 1997	101	1997
Fast and stable polynomial equation solving and its application to computer vision M Byröd, K Josephson, K Åström International Journal of Computer Vision 84, 237-256, 2009	94	2009
Generalised epipolar constraints K Åström, R Cipolla, PJ Giblin Computer Vision—ECCV'96: 4th European Conference on Computer Vision …, 1996	90	1996
Flexible calibration: Minimal cases for auto-calibration A Heyden, K Astrom Proceedings of the Seventh IEEE International Conference on Computer Vision …, 1999	86	1999
A complete characterization and solution to the microphone position self-calibration problem Y Kuang, S Burgess, A Torstensson, K Åström 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013	85	2013
Algebraic properties of multilinear constraints A Heyden, K Åström Mathematical Methods in the Applied Sciences 20 (13), 1135-1162, 1997	80	1997
Towards grading gleason score using generically trained deep convolutional neural networks H Källén, J Molin, A Heyden, C Lundström, K Åström 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI), 1163-1167, 2016	76	2016
Fast optimal three view triangulation M Byröd, K Josephson, K Åström Computer Vision–ACCV 2007: 8th Asian Conference on Computer Vision, Tokyo …, 2007	75	2007
Improving Numerical Accuracy of Gröbner Basis Polynomial Equation Solvers M Byrod, K Josephson, K Astrom Computer Vision, 2007. ICCV 2007. IEEE 11th International Conference on, 1-8, 2007	72	2007

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